I put just this one because it was the one that matters according to the rules.
Regarding the soft predictions, they were asked precisely to allow more comparisons in the resulting paper.
If you want, I can update the results with more metrics (I'll do it with auc now, but I'm open to more if you want) so that you can refer to those values in your abstract. Nevertheless, remember that only f1 will be considered for the final classification of the challenge regardless of the rankings in any other metric (regardless of the value of the arguments that may be presented in favor of any other).
So if anyone wants to add more metrics, please just update the python code accordingly and send it to me and I'll update the results file.
All the best
Eduardo
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Eduardo Conde-Sousa
INEB – Instituto Nacional de Engenharia Biomédica
i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto
Rua Alfredo Allen, 208 | 4200-135 Porto, Portugal******************************************************************************************